ABSTRACT—The proposed system addresses the challenges in maintaining street lighting infrastructure, a vital component of urban safety and efficiency. Leveraging Internet of Things (IoT) technology, the system integrates advanced fault detection algorithms and GPS-enabled location tracking to optimize the management of street lighting systems. The proactive monitoring framework detects common issues, including bulb failures, power inconsistencies, and wiring faults in real-time, ensuring minimal downtime and reduced maintenance costs. The integration of GPS modules enhances operational efficiency by enabling precise fault localization. Maintenance teams can prioritize tasks effectively based on geographic distribution, optimizing routes and ensuring timely resolution of issues. This approach contributes to safer urban environments by ensuring consistent lighting levels and reducing the risks of accidents or criminal activities in poorly lit areas. The system also incorporates advanced sensors such as Passive Infrared (PIR) sensors, Light Dependent Resistors (LDR), and power sensors. PIR sensors detect motion, enabling dynamic lighting adjustments to conserve energy by increasing brightness only when necessary. LDR sensors automate the activation of